What You’ll Do
- Own end-to-end program execution for major cross-functional initiatives — from kickoff and scoping through launch and retrospective.
- Build and maintain program plans that map dependencies across engineering, product, design, and data teams, keeping everyone aligned on scope, milestones, and timelines.
- Drive the operating cadence — run planning cycles, standups, reviews, and launch readiness; make meetings sharp, decisions clear, and follow-ups accountable.
- Identify, escalate, and resolve risks and blockers early, proactively unblocking teams and re-sequencing work when priorities shift.
- Translate between technical and non-technical stakeholders, turning complex engineering realities into crisp updates for leadership and clear context for the teams doing the work.
- Improve how we operate — establish lightweight, scalable processes for planning, prioritization, and delivery that reduce friction rather than add it.
- Maintain a single source of truth on program status, dependencies, and decisions, so anyone can understand where things stand at a glance.
What We’re Looking For
- 5+ years in technical program management, engineering program management, or a closely related role at a software/technology company.
- A technical foundation — you can read a system design doc, follow architectural trade-off discussions, and engage credibly with engineers. Prior experience as an engineer, or a CS/technical degree, is a strong plus.
- Proven track record shipping complex, cross-functional software programs on time, with multiple teams and competing priorities.
- Exceptional organizational and communication skills — you write clearly, run a tight meeting, and keep large groups of people aligned.
- Comfort with ambiguity and speed — you create structure where there is none and adapt as priorities evolve in a fast-growing startup.
- Strong judgment on prioritization and risk — you know what matters most, what can wait, and what could derail a launch.
- Experience with modern delivery tooling (e.g., GitHub, Linear/Jira, Notion) and an instinct for using process to enable, not bottleneck, the team.
Nice to Have
- Experience in AI/ML, data platforms, or B2B SaaS products.
- Familiarity with the insurance, fintech, or enterprise software domains.
- Experience standing up program-management practices at an early- or growth-stage company.
Skills Required
- 5+ years of experience in technical program management, engineering program management, or a closely related role at a software or technology company.
- Technical foundation sufficient to read system design documents, understand architectural trade-offs, and engage credibly with engineers.
- Proven track record shipping complex, cross-functional software programs on time across multiple teams and competing priorities.
- Exceptional organizational and communication skills, including clear writing, effective meetings, and stakeholder alignment.
- Ability to operate comfortably amid ambiguity and rapidly changing priorities in a fast-growing startup.
- Strong judgment in prioritization and risk management.
- Experience with modern delivery tools such as GitHub, Linear, Jira, or Notion.
- Prior engineering experience or a computer science or technical degree.
- Experience in AI/ML, data platforms, or B2B SaaS products.
- Familiarity with insurance, fintech, or enterprise software domains.
- Experience establishing program-management practices at an early-stage or growth-stage company.
What We Do
We provide Talent Solutions for the AI Era. Our mission is to connect businesses with exceptional talent and consulting solutions that align with your company’s culture and values. We offer AI consulting services to enable businesses in leveraging cutting-edge artificial intelligence. We help discover, design and deploy AI solutions that streamline operations, boost productivity, and unlock new growth opportunities. Our team of AI experts, strategists, and technology specialists work closely with organizations to integrate AI-driven solutions that align with their unique goals and challenges. From automation and data analytics to predictive modeling and AI-based customer experiences, we provide end-to-end support for businesses embarking on their AI transformation journey.








